Upcoming Webinar: Making KM Clickable (Powering Great Enterprise Search with KM)

Enterprise Knowledge’s Principals Zach Wahl and Joe Hilger are presenting a new webinar titled “Making KM Clickable: Powering Great Enterprise Search with KM” on Thursday, November 21st from 1:00 PM – 2:00 PM EDT. In this webinar, Wahl and Hilger … Continue reading

Why a Knowledge Graph is the Best Way to Upgrade Your Taxonomy

Many organizations begin their journey in semantic solutions with a taxonomy. Taxonomies are simple information models that help organizations describe and structure their information in a hierarchy. They are effective for organizing content and data, but do not capture all … Continue reading

Webinar: Laying KM Foundations for Successful and Transformative AI

Presented by EK’s Zach Wahl and Joe Hilger, this webinar discusses how AI can harness the full spectrum of your organization’s knowledge so that information can be efficiently found, used, and reused. In the webinar participants learned: • Why Knowledge … Continue reading

How Leveraging Existing Taxonomies Can Jumpstart Ontology Design

Taxonomies and ontologies are both types of Knowledge Organization Systems, or KOS. Different types of KOS can be seen as a continuum, starting with a simple folksonomy where users of content can add free form tags with no control or … Continue reading

Best Practices for Enterprise Knowledge Graph Design

In my previous post, I described Enterprise Knowledge Graphs and their importance to today’s organization. Now that we understand the value of Enterprise Knowledge Graphs, I want to address questions like how we create one for a specific organization, where … Continue reading

What is an Enterprise Knowledge Graph and Why Do I Want One?

Enterprise Knowledge Graphs have been on the rise. We see them as an incredibly valuable tool for relating your structured and unstructured information and discovering facts about your organization. Yet, knowledge graphs have been and still are far too underutilized. … Continue reading